Tom Bylander

According to our database, Tom Bylander authored at least 45 papers between 1983 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2014

Web Searching with Multiple Correct Answers.

Steven O'Hara, Tom Bylander

Proceedings of the 4th International Conference on Web Intelligence, 2014

2012

Predicting website correctness from consensus analysis.

Steven O'Hara, Tom Bylander

Proceedings of the Research in Applied Computation Symposium, 2012

2011

Numeric Query Answering on the Web.

Steven O'Hara, Tom Bylander

Int. J. Semantic Web Inf. Syst., 2011

Learning Linear Functions with Quadratic and Linear Multiplicative Updates.

Tom Bylander

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Transforming examples for multiclass boosting.

Tom Bylander

J. Exp. Theor. Artif. Intell., 2010

2006

Predicting currency exchange rates by genetic programming with trigonometric functions and high-order statistics.

Roy Schwaerzel, Tom Bylander

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Using Validation Sets to Avoid Overfitting in AdaBoost.

Tom Bylander, Lisa Tate

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2002

Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates.

Tom Bylander

Mach. Learn., 2002

1999

Estimating Generalization Error Using Out-of-Bag Estimates.

Tom Bylander, Dennis Hanzlik

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms.

Tom Bylander

Artif. Intell., 1998

1997

A perceptron-like online algorithm for tracking the median.

Tom Bylander, Bruce Rosen

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

The Binary Exponentiated Gradient Algorithm for Learning Linear Functions.

Tom Bylander

Proceedings of the Tenth Annual Conference on Computational Learning Theory, 1997

Learning Probabilistically Consistent Linear Threshold Functions.

Tom Bylander

Proceedings of the Tenth Annual Conference on Computational Learning Theory, 1997

A Linear Programming Heuristic for Optimal Planning.

Tom Bylander

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

Worst-Case Absolute Loss Bounds for Linear Learning Algorithms.

Tom Bylander

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

A Probabilistic Analysis of Propositional STRIPS Planning.

Tom Bylander

Artif. Intell., 1996

1995

Learning Linear Threshold Approximations Using Perceptrons.

Tom Bylander

Neural Comput., 1995

1994

The Computational Complexity of Propositional STRIPS Planning.

Tom Bylander

Artif. Intell., 1994

Learning Linear Threshold Functions in the Presence of Classification Noise.

Tom Bylander

Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

1993

Polynomial Learnability of Linear Threshold Approximations.

Tom Bylander

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

An Average Case Analysis of Planning.

Tom Bylander

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1992

Complexity Results for Serial Decomposability.

Tom Bylander

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Tractability and artificial intelligence.

Tom Bylander

J. Exp. Theor. Artif. Intell., 1991

A Theory of Consolidation for Reasoning about Devices.

Tom Bylander

Int. J. Man Mach. Stud., 1991

Knowledge Compilation: A Symposium.

Ashok K. Goel, Tom Bylander, B. Chandrasekaran, Thomas G. Dietterich, Richard M. Keller, Chris Tong

IEEE Expert, 1991

The Computational Complexity of Abduction.

Tom Bylander, Dean Allemang, Michael C. Tanner, John R. Josephson

Artif. Intell., 1991

The Monotonic Abduction Problem: A Functional Characterization on the Edge of Tractability.

Tom Bylander

Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR'91). Cambridge, 1991

Complexity Results for Planning.

Tom Bylander

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Generating Error Candidates for Assigning Blame in a Knowledge Base.

Michael A. Weintraub, Tom Bylander

Proceedings of the Eighth International Workshop (ML91), 1991

The Qualitative Difference Resolution Rule.

Tom Bylander

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990

Some causal models are deeper than others.

Tom Bylander

Artif. Intell. Medicine, 1990

1989

Computational Feasibility of Structured Matching.

Ashok K. Goel, Tom Bylander

IEEE Trans. Pattern Anal. Mach. Intell., 1989

Using causal reasoning in gait analysis.

David E. Hirsch, Sheldon R. Simon, Tom Bylander, Michael A. Weintraub, Peter Szolovits

Appl. Artif. Intell., 1989

Some Results Concerning the Computational Complexity of Abduction.

Tom Bylander, Dean Allemang, Michael C. Tanner, John R. Josephson

Proceedings of the 1st International Conference on Principles of Knowledge Representation and Reasoning (KR'89). Toronto, 1989

Structured matching: a task-specific technique for making decisions.

Tom Bylander, Todd R. Johnson, Ashok K. Goel

Proceedings of the IEEE International Workshop on Tools for Artificial Intelligence: Architectures, 1989

1988

A critique of qualitative simulation from a consolidation viewpoint.

Tom Bylander

IEEE Trans. Syst. Man Cybern., 1988

Theoretical Issues in Conceptual Information Processing.

James A. Hendler, Balakrishnan Chandrasekaran, Beth Adelson, Richard Alterman, Tom Bylander, Michael Dyer

AI Mag., 1988

1987

Distributed Expert-Based Information Systems: An Interdisciplinary Approach.

Nicholas J. Belkin, Christine L. Borgman, Helen M. Brooks, Tom Bylander, W. Bruce Croft, Penny J. Daniels, Scott C. Deerwester, Edward A. Fox, Peter Ingwersen, Roy Rada

Inf. Process. Manag., 1987

Generic Tasks for Knowledge-Based Reasoning: The "Right" Level of Abstraction for Knowledge Acquisition.

Tom Bylander, B. Chandrasekaran

Int. J. Man Mach. Stud., 1987

Computational Complexity of Hypothesis Assembly.

Dean Allemang, Michael C. Tanner, Tom Bylander, John R. Josephson

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

The Generic Task Toolset.

Tom Bylander, B. Chandrasekaran, John R. Josephson

Proceedings of the Cognitive Engeineering in the Design of Human-Computer Interaction and Expert Systems, 1987

1986

CRSL: A Language for Classificatory Problem Solving and Uncertainty Handling.

Tom Bylander, Sanjay Mittal

AI Mag., 1986

1985

Artificial Intelligence Research at The Ohio State University.

B. Chandrasekaran, Tom Bylander

AI Mag., 1985

Understanding Behavior Using Consolidation.

Tom Bylander, B. Chandrasekaran

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1983

CSRL: A Language for Expert Systems for Diagnosis.

Tom Bylander, Sanjay Mittal, B. Chandrasekaran

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983